SAP MDM Migration Lab
Practice lab on synthetic data. Material and business partner cutover, with a data quality scorecard.
Bridging SAP master data, enterprise ERP, supply chain BI and applied AI to turn complex operational data into reliable decisions.
Start with the SAP MDM lab, then the BI dashboard, then the AI demos.
Master data and ERP
The work I want a hiring manager to open first. The SAP lab uses synthetic data. The spend file is public Government of Canada contracts.
Practice lab on synthetic data. Material and business partner cutover, with a data quality scorecard.
Vendor cleanup on 179,829 federal contracts. 53,265 vendor names cleaned.
A monthly demand and supply plan, and the S&OP playbook behind it.
How a business runs
Each demo sits in the step it serves.
Demand, supply and network
Where to place sites to serve demand at the lowest cost.
Inventory, cash and network design on a GTA corridor.
Suppliers and spend
Where spend can drop without losing service.
Run, monitor and data pipelines
OTIF, freight, inventory and exceptions in one view.
A team big data project for a fictional National Logistics Co. Bronze, Silver, and Gold tables feed a Databricks operations dashboard.
Results for management
Budget against actual for management accounts.
Local and foreign suppliers, scope 1 and 2 emissions, fuel calculator.
Applied AI and statistical modeling
Heart risk, Smart-Shield, and the Python and R showcases.
Highway risk score from traffic text and camera images.
Hosted on Render, may take about 25 seconds to wake on first click.Ten year heart risk from public CDC data.
Eight modules: ML, NLP, charts and ethics checks.
Fourteen problems: regression, trees, clustering and LP.
About
I help teams get their ERP and master data right, and I turn that data into reports and simple AI tools people can use. My background is SAP ECC master data and procurement, including S/4HANA discovery, and I keep my migration skills sharp in a lab on synthetic data. Try the BI and applied AI demos above.
Based in Ontario. Open to full-time or contract roles, remote across Canada.
Career path
Credentials and governance
Academic: M.Sc. Statistics. Post-Graduate Certificate in AI Development and Applications (Sheridan College).
Certifications: PECB ISO 9001 Lead Implementer. CIPS Ontario member.
Core stack: SAP ECC master data and S/4HANA discovery, Oracle JDE, Microsoft Dynamics, SQL, Python (scikit-learn, Spark on Databricks), R, Power BI, Tableau.
Recommendations
Two LinkedIn notes from supply chain and analytics leaders.
“Afolabi is a detailed oriented and process driven person. He’s skilled with the use of big data to build informed decision and drive efficiency while also ensuring continuous improvement across the value chain within supply chain functions. Afolabi remains an asset to any organization and can lead at both tactical and strategic levels.”
“I had the pleasure of managing Afolabi Adesina around 2021-2023, a highly skilled Business Analysis expert who successfully developed a comprehensive Sales and Operation playbook for Integrated Demand/Supply Planning. Afolabi’s expertise in process optimization and data analysis enabled him to streamline manual processes and improve data collection, yielding significant enhancements in supply chain efficiency.”
Source: public LinkedIn recommendations on linkedin.com/in/afolabi-adesina.
Get in touch
Open to full-time or contract roles in Ontario, remote across Canada. Happy to walk through dashboards, the SAP practice lab, AI demos, or where I would fit on your team.